CHAOS TIME-DOMAIN REFLECTOMETRY FOR FAULT LOCATION ON LIVE WIRES

被引:0
|
作者
Xu, Hang [1 ,2 ]
Li, Jingxia [1 ,2 ]
Liu, Li [1 ,2 ]
Wang, Bingjie [1 ,2 ]
Zhang, Jianguo [1 ,2 ]
Wang, Yuncai [1 ,2 ]
机构
[1] Taiyuan Univ Technol, Key Lab Adv Transducers & Intelligent Control Sys, Minist Educ, Taiyuan 030024, Peoples R China
[2] Taiyuan Univ Technol, Coll Phys & Optoelect, Inst Optoelect Engn, Taiyuan 030024, Peoples R China
来源
JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2015年 / 5卷 / 02期
基金
中国国家自然科学基金;
关键词
Chaotic signal; high density bipolar of order 3; fault location; live wire; WIRING FAULTS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We propose a chaos time-domain reflectometry (CTDR) for locating faults on live wires. This method uses a chaotic output of an improved Colpitts oscillator as probe signal, and detects wire faults by correlating a duplicate with the echo of the probe signal. Benefiting from the anti-jamming of the correlation function of the wideband chaos, fault location on live wires can be achieved. We experimentally demonstrate the detection for live wires in a digital communication system, in which a type of digital signal named high density bipolar of order 3 (HDB3) is transmitted. The effects of the chaotic probe signal on the bit error rate (BER) of the transmitted HDB3 at different rates are analyzed. Meanwhile, the influences of the backward HDB3 reflected by wiring faults on the signal-noise-ratio (SNR) of CTDR measurement are examined experimentally. The results show that fault detection on live wires is achieved when the power of the chaotic probe signal is about from -24.8 dB to -13.5 dB lower than that of the transmitted digital signal. In this case, the BER is kept less than 3E-10, and the SNR of CTDR is higher than 3 dB. Besides, the auto-correlation properties of the improved Colpitts oscillator at different states are investigated experimentally to explore the suitable chaotic states for the CTDR.
引用
收藏
页码:243 / 250
页数:8
相关论文
共 50 条
  • [1] Wiring fault detection with Boolean-chaos time-domain reflectometry
    Jian Guo Zhang
    Hang Xu
    Bing Jie Wang
    Li Liu
    Peng Cheng Su
    Jing Xia Li
    Nonlinear Dynamics, 2015, 80 : 553 - 559
  • [2] Wiring fault detection with Boolean-chaos time-domain reflectometry
    Zhang, Jian Guo
    Xu, Hang
    Wang, Bing Jie
    Liu, Li
    Su, Peng Cheng
    Li, Jing Xia
    NONLINEAR DYNAMICS, 2015, 80 (1-2) : 553 - 559
  • [3] Fault detection and location in power distribution systems: The usefulness of the HS-OFDM scheme for time-domain reflectometry
    de Oliveira, Lucas Giroto
    Filomeno, Mateus de L.
    Poor, H. Vincent
    Ribeiro, Moises V.
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 203
  • [4] Improved Leap-frog Method for Time-domain Fault Location
    Dzafic, Izudin
    Jabr, Rabih A.
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2024, 12 (02) : 670 - 674
  • [5] Fault detection in fieldbuses with time domain reflectometry
    Hartebrodt, M
    Kabitzsch, K
    2004 IEEE AFRICON: 7TH AFRICON CONFERENCE IN AFRICA, VOLS 1 AND 2: TECHNOLOGY INNOVATION, 2004, : 391 - 396
  • [6] An Improved Time-domain Fault-location Algorithm for HVDC Transmission Line
    Qiu, Yingdan
    Li, Haifeng
    Wu, Jiyang
    Guo, Yanxun
    Wang, Gang
    2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 2529 - 2533
  • [7] Influence of Cable Structure on the Fault Location by Frequency Domain Reflectometry
    Ohki, Yoshimichi
    Hirai, Naoshi
    2015 IEEE CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA (CEIDP), 2015, : 274 - 277
  • [8] Accurate Time-Domain Fault Location Method on Practically Transposed Transmission Lines
    Lu, Dayou
    Liu, Yu
    Wang, Binglin
    Yi, Lihui
    Zheng, Xiaodong
    2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,
  • [9] Graphical Determination of Transient Cable Fault Location with Captured Time-Domain Data
    Anang, Derrick S.
    Kim, Charles
    2018 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2018,
  • [10] Modeling and Simulation of Time Domain Reflectometry Signals on a Real Network for Use in Fault Classification and Location
    Fornas, Javier Granado
    Jaraba, Elias Herrero
    Bludszuweit, Hans
    Garcia, David Cervero
    Estopinan, Andres Llombart
    IEEE ACCESS, 2023, 11 : 23596 - 23619